Fix test failures

pandas/tests/frame/test_block_internals.py

@@ -251,7 +251,7 @@ def f(dtype):
             f("float64")
 
         # 10822
-        msg = "^Unknown datetime string format, unable to parse: aa, at position 0$"
+        msg = "^Unknown datetime string format, unable to parse: aa$"
         with pytest.raises(ValueError, match=msg):
             f("M8[ns]")
 

pandas/tests/io/parser/test_parse_dates.py

@@ -507,8 +507,8 @@ def test_parse_multiple_delimited_dates_with_swap_warnings():
     with pytest.raises(
         ValueError,
         match=(
-            r'^time data "31/05/2000" doesn\'t match format "%m/%d/%Y", '
-            r"at position 1. You might want to try:"
+            r'^time data "31/05/2000" doesn\'t match format "%m/%d/%Y". '
+            r"You might want to try:"
         ),
     ):
         pd.to_datetime(["01/01/2000", "31/05/2000", "31/05/2001", "01/02/2000"])

pandas/tests/series/test_constructors.py

@@ -83,7 +83,7 @@ def test_infer_with_date_and_datetime(self):
     def test_unparsable_strings_with_dt64_dtype(self):
         # pre-2.0 these would be silently ignored and come back with object dtype
         vals = ["aa"]
-        msg = "^Unknown datetime string format, unable to parse: aa, at position 0$"
+        msg = "^Unknown datetime string format, unable to parse: aa$"
         with pytest.raises(ValueError, match=msg):
             Series(vals, dtype="datetime64[ns]")
 

pandas/tests/tslibs/test_array_to_datetime.py

@@ -260,7 +260,7 @@ def test_to_datetime_barely_out_of_bounds():
     # Close enough to bounds that dropping nanos
     # would result in an in-bounds datetime.
     arr = np.array(["2262-04-11 23:47:16.854775808"], dtype=object)
-    msg = "^Out of bounds nanosecond timestamp: 2262-04-11 23:47:16, at position 0$"
+    msg = "^Out of bounds nanosecond timestamp: 2262-04-11 23:47:16$"
 
     with pytest.raises(tslib.OutOfBoundsDatetime, match=msg):
         tslib.array_to_datetime(arr)